{"id":"https://openalex.org/W2613011164","doi":"https://doi.org/10.23919/date.2017.7927030","title":"Robust neuromorphic computing in the presence of process variation","display_name":"Robust neuromorphic computing in the presence of process variation","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2613011164","doi":"https://doi.org/10.23919/date.2017.7927030","mag":"2613011164"},"language":"en","primary_location":{"id":"doi:10.23919/date.2017.7927030","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date.2017.7927030","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056732084","display_name":"Ali BanaGozar","orcid":null},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Ali BanaGozar","raw_affiliation_strings":["School of Electrical and computer Engineering, University of Tehran"],"affiliations":[{"raw_affiliation_string":"School of Electrical and computer Engineering, University of Tehran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052702825","display_name":"Mohammad Ali Maleki","orcid":"https://orcid.org/0000-0002-9019-3605"},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohammad Ali Maleki","raw_affiliation_strings":["School of Electrical and computer Engineering, University of Tehran"],"affiliations":[{"raw_affiliation_string":"School of Electrical and computer Engineering, University of Tehran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042809860","display_name":"Mehdi Kamal","orcid":"https://orcid.org/0000-0001-7098-6440"},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mehdi Kamal","raw_affiliation_strings":["School of Electrical and computer Engineering, University of Tehran"],"affiliations":[{"raw_affiliation_string":"School of Electrical and computer Engineering, University of Tehran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074063358","display_name":"Ali Afzali\u2010Kusha","orcid":"https://orcid.org/0000-0001-8614-2007"},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Ali Afzali-Kusha","raw_affiliation_strings":["School of Electrical and computer Engineering, University of Tehran"],"affiliations":[{"raw_affiliation_string":"School of Electrical and computer Engineering, University of Tehran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044650311","display_name":"Massoud Pedram","orcid":"https://orcid.org/0000-0002-2677-7307"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Massoud Pedram","raw_affiliation_strings":["Department of Electrical Engineering, University of Southern California"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Southern California","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5056732084"],"corresponding_institution_ids":["https://openalex.org/I23946033"],"apc_list":null,"apc_paid":null,"fwci":1.1467,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.79546219,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"440","last_page":"445"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.9577387571334839},{"id":"https://openalex.org/keywords/process-variation","display_name":"Process variation","score":0.795333981513977},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6643827557563782},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6463008522987366},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.607121467590332},{"id":"https://openalex.org/keywords/cmos","display_name":"CMOS","score":0.5831143260002136},{"id":"https://openalex.org/keywords/electronic-circuit","display_name":"Electronic circuit","score":0.4532209634780884},{"id":"https://openalex.org/keywords/inverter","display_name":"Inverter","score":0.44689685106277466},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.44136306643486023},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.40941378474235535},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34301283955574036},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3203697204589844},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.316429078578949},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1568802297115326},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.1460649073123932}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.9577387571334839},{"id":"https://openalex.org/C93389723","wikidata":"https://www.wikidata.org/wiki/Q7247313","display_name":"Process variation","level":3,"score":0.795333981513977},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6643827557563782},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6463008522987366},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.607121467590332},{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.5831143260002136},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.4532209634780884},{"id":"https://openalex.org/C11190779","wikidata":"https://www.wikidata.org/wiki/Q664575","display_name":"Inverter","level":3,"score":0.44689685106277466},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.44136306643486023},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.40941378474235535},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34301283955574036},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3203697204589844},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.316429078578949},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1568802297115326},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.1460649073123932},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/date.2017.7927030","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date.2017.7927030","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1556632388","https://openalex.org/W1563967419","https://openalex.org/W1608292140","https://openalex.org/W1965288361","https://openalex.org/W1973433558","https://openalex.org/W1980446076","https://openalex.org/W2003323429","https://openalex.org/W2016922062","https://openalex.org/W2056507634","https://openalex.org/W2083409181","https://openalex.org/W2091777687","https://openalex.org/W2125818553","https://openalex.org/W2148267286","https://openalex.org/W2187230075","https://openalex.org/W2237922334","https://openalex.org/W3099743262","https://openalex.org/W4212839235"],"related_works":["https://openalex.org/W2986579802","https://openalex.org/W3108691306","https://openalex.org/W4389237622","https://openalex.org/W2166309310","https://openalex.org/W4385753159","https://openalex.org/W4387251107","https://openalex.org/W4214914769","https://openalex.org/W4200152843","https://openalex.org/W98453623","https://openalex.org/W2340624421"],"abstract_inverted_index":{"In":[0,45],"this":[1,46,131],"paper,":[2],"an":[3,83],"approach":[4,23,87,97],"for":[5],"increasing":[6],"the":[7,15,28,34,38,57,64,67,70,90,94,103,108,111,126,142,145,148],"sustainability":[8],"of":[9,17,30,51,69,93,110,125,147],"inverter-based":[10],"memristive":[11],"neuromorphic":[12,58],"circuits":[13],"in":[14,82,102],"presence":[16],"process":[18,31,149],"variation":[19,150],"is":[20,151],"presented.":[21],"The":[22,96,123],"works":[24],"based":[25],"on":[26,33,56,134],"extracting":[27],"impact":[29,146],"variations":[32],"neurons":[35,71],"characteristics":[36],"during":[37],"test":[39],"phase":[40],"through":[41],"a":[42,99],"proposed":[43,112],"algorithm.":[44],"method,":[47],"first,":[48],"some":[49,114],"combinations":[50],"inputs":[52],"and":[53,66],"weights":[54,92],"(based":[55],"circuit":[59,65],"structure)":[60],"are":[61,72,78,80,117],"injected":[62],"into":[63],"features":[68,76],"determined.":[73],"Next,":[74],"these":[75],"which":[77],"back-annotated,":[79],"utilized":[81],"efficient":[84],"ex-situ":[85],"training":[86],"to":[88,141],"determine":[89],"proper":[91],"neurons.":[95],"provides":[98],"considerable":[100],"improvement":[101],"output":[104,138],"accuracy.":[105],"To":[106],"evaluate":[107],"effectiveness":[109],"approach,":[113],"approximate":[115],"applications":[116],"studied":[118],"using":[119,130],"90nm":[120],"CMOS":[121],"technology.":[122],"results":[124],"study":[127],"reveal":[128],"that":[129,144],"framework":[132],"provides,":[133],"average,":[135],"17X":[136],"higher":[137],"accuracy":[139],"compared":[140],"cases":[143],"not":[152],"considered":[153],"at":[154],"all.":[155]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}